LLM Cost Calculator

DeepSeek R1 vs o4-mini — LLM API Cost Comparison

Compare DeepSeek R1 (DeepSeek) vs o4-mini (OpenAI) on cost per million tokens, context window, and monthly spend.

Prices verified 2026-05-20 · Pricing may change — use the calculator for current estimates

DeepSeek
DeepSeek R1
Current
Input
$0.55/1M tokens
Output
$2.19/1M tokens
Context
128K tokens
Released
2025-01

Open-source reasoning model; competes with o1

OpenAI
o4-mini
Current
Input
$1.1/1M tokens
Output
$4.4/1M tokens
Context
200K tokens
Released
2025-04

Best-value reasoning model; chain-of-thought built in

Monthly Cost by Usage Tier (70% input / 30% output ratio)

UsageDeepSeek R1o4-miniCheaper by
Light (1M tokens)$1.04$2.09DeepSeek R1 (50%)
Moderate (10M tokens)$10.42$20.90DeepSeek R1 (50%)
Heavy (100M tokens)$104$209DeepSeek R1 (50%)
Very Heavy (1B tokens)$1,042$2,090DeepSeek R1 (50%)

Frequently Asked Questions

Which is cheaper — DeepSeek R1 or o4-mini?

For input tokens, DeepSeek R1 is cheaper at $0.55/1M tokens — 2.0× less than $1.1/1M. For output tokens, DeepSeek R1 wins at $2.19/1M vs $4.4/1M. At heavy workloads (100M tokens/month), the cost difference can be significant.

What is the context window difference between DeepSeek R1 and o4-mini?

DeepSeek R1 supports 128,000 tokens per request; o4-mini supports 200,000 tokens. o4-mini wins on context length, making it better for long documents, large codebases, or extended conversations without chunking.

When should I choose DeepSeek R1 over o4-mini?

Choose DeepSeek R1 (DeepSeek) if you prefer DeepSeek's ecosystem, tooling, or reliability track record. Open-source reasoning model; competes with o1. Choose o4-mini (OpenAI) if Best-value reasoning model; chain-of-thought built in. the price/performance fits your workload better. Use this calculator to find the break-even point for your exact token volume.

How much does 1 billion tokens cost on DeepSeek R1 vs o4-mini?

At 700M input + 300M output tokens (1B total): DeepSeek R1 costs $1042; o4-mini costs $2090. The difference is $1048/billion tokens at this 70/30 input/output ratio.